class_docstr: Adds a bias term to an input.
class_docstr_tok: ["Adds","a","bias","term","to","an","input","."]
code: def __init__(
      self,
      initializer="zeros",
      regularizer=None,
      constraint=None,
      activation=None,
      **kwargs,
  ):
      super(Bias, self).__init__(**kwargs)
      self._initializer = tf.keras.initializers.get(initializer)
      self._regularizer = tf.keras.regularizers.get(regularizer)
      self._constraint = tf.keras.constraints.get(constraint)
      self._activation = tf.keras.activations.get(activation)
  
file_path: autodist/examples/benchmark/utils/modeling/networks/masked_lm.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.keras.engine import network
  from utils import tf_utils
label_desc: Use image node_id 1 to create a new Bias object from inherited base classes: tf.keras.layers with example: obj = Bias(initializer, regularizer, constraint, activation)